E116: Toxic out-of-control trains, regulators, and AI

A book by Ayn Rand, mentioned as a parallel to the train derailment situation where bureaucracies lead to unaccountability.

A blog post cited as evidence of ChatGPT's political bias, detailing examples like its refusal to write a poem about Donald Trump.

Mentioned in the context of big tech acquisitions and its liability for user-generated content under Section 230.

Mentioned as a big tech company whose unchecked activities contrast with the FTC's focus on smaller acquisitions.

Discussed in relation to its App Store policies, particularly the 30% take rate and the need for third-party app stores and sideloading, contrasting with the FTC's approach.

Discussed in relation to its early AI 'Tay' that became racist, its integration of OpenAI technology, and the current 'Bing' AI.

Discussed in relation to censorship, section 230, and algorithmic bias, especially concerning content moderation and the 'Twitter files' exposé.

An AI-powered social media platform whose community guidelines are constantly tightening due to public pressure, similar to other platforms.

Its attempted acquisition of a VR exercising app was cited as an example of the FTC chair's ineffective regulation targeting 'bigness'.

Discussed concerning its search algorithms, App Store policies, and the development of Bard AI, as well as its historical relationship with Mozilla Firefox.

A social media platform where users discovered the 'Dan' method to bypass ChatGPT's trust and safety layer.

Its browser technology was taken by the Mozilla Foundation out of AOL to create Firefox.

The defendant in the Gonzalez case, being sued over its algorithmic recommendations of alleged terrorist content, sparking debate about Section 230's applicability.

Mentioned as an example of a company diversifying its product portfolio (e.g., Diet Coke, Coke Zero) to manage public perception of unhealthy products.

A web browser created by the Mozilla Foundation, which entered into a lucrative search deal with Google.

A pharmaceutical company associated with Zantac, accused of covering up cancer risks for decades.

The company from which Netscape's technology was acquired by the Mozilla Foundation.

A company that developed ChatGPT, criticized for its biased 'trust and safety' layer and opaque filtering, and its shift from a non-profit to a for-profit entity.

Former President of the United States, mentioned in an example of ChatGPT's political bias, as it would not generate a poem about him.

The head of the Department of Transportation, who was criticized for the train derailment.

The CEO of Apple, mentioned in the context of the FTC chair's tactical approach to regulating big tech.

Mentioned as an example of extreme content a YouTube user might be led to by algorithms.

Co-founder and CEO of OpenAI, credited with the 'brilliance' of making OpenAI a for-profit entity and integrating its technology with Microsoft.

Mentioned as an example of content a YouTube user might start with before being led to more extreme content by algorithms.

An early contributor/investor to OpenAI when it was a non-profit.

Mentioned as an analogy for a highly skilled individual playing with less experienced players, referencing a poker game.

One of the participants in the charity poker game.

The Florida Governor, whose Super PAC was mentioned hypothetically for a charity poker game scenario.

A tech reporter for the New York Times who had a 'weird' and 'disturbing' conversation with Bing's AI, Sydney. His reporting is distrusted by one of the hosts.

One of the participants in the charity poker game.

Environmental activist mentioned hypothetically to highlight media's selective coverage based on agenda, contrasting with the Ohio derailment.

An FTC commissioner who resigned, citing Lena Khan's disregard for the rule of law and consolidation of power.

Used hypothetically to test AI bias, by asking about his 'good ideas', contrasting the filtered response of ChatGPT with Neva's more factual, albeit disturbing, answer.

The chair of the FTC, criticized for being ineffective and having an ideological approach to regulating big tech, focusing on 'bigness' rather than specific harmful practices.

The CEO of Google, mentioned in the context of the FTC chair's tactical approach to regulating big tech.

The President of the United States, mentioned in an example of ChatGPT's political bias, as it would generate a poem about him.

Mentioned hypothetically as a presidential candidate for a charity poker game scenario.

Current owner of Twitter, who implemented separate chronological and algorithmic feeds, and also a founder of OpenAI.

One of the participants in the charity poker game.

Former head of Trust & Safety at Twitter, whose team was exposed by the 'Twitter Files' as highly biased.

Mentioned as an example of content a YouTube user might be led to by algorithms after starting with less extreme content.

Used in an analogy to describe AI's potential 'Godlike power' to rewrite history and erase individuals, similar to how Stalin manipulated historical records.

Apple's web browser, which Google aimed to block from gaining a monopoly or duopoly by funding Firefox.

An AI language model that has been 'hacked' with 'Dan' to remove filters, demonstrating its political biases in generated content.

The upcoming version of ChatGPT, anticipated to be a significant advancement over version three.

Microsoft's web browser, which Google aimed to block from gaining a monopoly or duopoly by funding Firefox.

Microsoft's earlier AI chatbot from 2016 that hackers quickly made racist, leading to its shutdown, serving as a cautionary tale for modern AI development.

A 'jailbreak' method for ChatGPT that allows it to bypass its trust and safety filters by instructing it to behave as an unrestricted AI, which has since been patched.

A historical innovation that allowed book printing, leading to censorship and regulation cycles by institutions like the Church, drawing parallels to AI censorship.

Microsoft's search engine, whose AI (Sydney) had a 'weird' conversation with a reporter and whose current AI product is described as 'not good' and 'not ready for prime time'.

A search engine mentioned for notably providing citations with its AI answers, unlike some other models.

A publication that reportedly ran an article criticizing Mr. Beast's video on curing blindness for being 'ableist'.

A mainstream media outlet criticized for perceived lack of coverage on the Ohio train derailment and for its alleged liberal bias.

Mentioned as where Lena Khan may have learned about Meta theoretically, contrasting with the practical knowledge needed for business regulation.

A charity started by Mr. Beast, described as one of the largest food pantries in the United States, providing food to people facing insecurity.

A cryptocurrency exchange whose collapse and the subsequent regulation attempts are discussed as an example of government overreach or incompetence.

The government agency responsible for safety regulations regarding train companies.

A non-profit organization that spun out Firefox from Netscape, later creating a for-profit entity to fund its activities through deals like the Google search default.

Reported on a disturbing conversation between Bing's AI, Sydney, and a reporter. However, its reporting quality on tech topics is questioned by one of the hosts.

Anticipated to make a decision on Section 230 via the Gonzalez case, with concerns about potential negative impacts on censorship.

An organization that works to improve conditions for animals in animal agriculture and operates rescue programs and sanctuaries. A guest raised $80,000 for them through poker.

Cited as an example of how market alternatives emerge to serve audiences with different political leanings when mainstream media becomes 'too liberal'.

A river where fish died following the East Palestine, Ohio train derailment due to chemical contamination.

An exposé that revealed bias in Twitter's previous management and its trust and safety officials.

A Supreme Court case challenging Section 230 protections for platforms that use algorithms to recommend content, specifically involving YouTube and alleged promotion of terrorist content.

A provision of the Communications Decency Act that protects internet platforms from liability for user-generated content, currently being challenged in the Gonzalez case regarding algorithmic recommendations.

The 1996 act that included Section 230, created to protect internet platforms from being litigated to death for user-generated content.

A live poker stream platform where a charity poker game was played, raising significant funds for philanthropy.

A science fiction film, mentioned in analogy to the concept of 'precogs' or foreknowledge, relating to predicting future issues.

A product sold over-the-counter that was allegedly known by GlaxoSmithKline to have cancer risks for 40 years, a cover-up is being discussed.